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Yixing Zhu

3 accepted papers

2026

You Only Erase Once: Erasing Anything without Bringing Unexpected Content

CVPR 2026

We present YOEO, an approach for object erasure. Unlike recent diffusion-based methods which struggle to erase target objects without generating unexpected content within the masked regions due to lack of sufficient paired training data and explicit constraint on content generation, our method allow

Cited by 0SourcecodeScholar
2025

EntityErasure: Erasing Entity Cleanly via Amodal Entity Segmentation and Completion

CVPR 2025poster

This paper presents EntityErasure, a novel diffusion-based inpainting method that can effectively erase entities without inducing unwanted sundries. To this end, we propose to address this problem by dividing it into amodal entity segmentation and completion, such that the region to inpaint takes on…

2024

"ByteEdit: Boost, Comply and Accelerate Generative Image Editing"

ECCV 2024poster

"Recent advancements in diffusion-based generative image editing have sparked a profound revolution, reshaping the landscape of image outpainting and inpainting tasks. Despite these strides, the field grapples with inherent challenges, including: i) inferior quality; ii) poor consistency; iii) insuf…

Cited by 6SourcePDFScholar